Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …

Electroencephalography (EEG) signals are crucial data to understand brain activities. Thus,
many papers have been proposed about EEG signals. In particular, machine learning …

Schizophrenia diagnosis, characterized by cognitive deficits, hallucinations, and delusions,
poses challenges due to its complex nature. Electroencephalogram (EEG) signals provide …

Identifying disease-related genes is an ongoing study issue in biomedical analysis. Many
research has recently presented various strategies for predicting disease-related genes …

Schizophrenia is a serious chronic mental disorder that significantly affects daily life.
Electroencephalography (EEG), a method used to measure mental activities in the brain, is …

Autism spectrum disorder (ASD) is a neurological condition revealed by deficiencies in
physical well-being, social communication, hyperactive behavior, and increased sensitivity …

Early diagnosis of epilepsy is crucial for patient survival and well-being, making it essential
to develop effective methods for early disease detection based on health parameters. This …

Advances in AI techniques have fueled research on using EEG data for psychiatric disorder
diagnosis. Despite EEG's cost-effectiveness and high temporal resolution, low Signal-to …

Numerous studies on early detection of schizophrenia (SZ) have utilized all available
channels or employed set of a few time domain or frequency domain features, while a …

The Traveling Salesman Problem (TSP) seeks the shortest closed tour that visits each city
once and returns to the starting city. This problem is NP-hard, so it is not easy to solve using …